org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator Maven / Gradle / Ivy

Show more of this group Show more artifacts with this name
Show all versions of dl4j-spark3_2.12 Show documentation
The newest version!
/*
 *  ******************************************************************************
 *  *
 *  *
 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * Unless required by applicable law or agreed to in writing, software
 *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 *  * License for the specific language governing permissions and limitations
 *  * under the License.
 *  *
 *  * SPDX-License-Identifier: Apache-2.0
 *  *****************************************************************************
 */

package org.deeplearning4j.spark.earlystopping;

import org.apache.spark.SparkContext;
import org.apache.spark.api.java.JavaRDD;
import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer;
import org.nd4j.linalg.dataset.DataSet;

public class SparkDataSetLossCalculator implements ScoreCalculator {


    private JavaRDD data;
    private boolean average;
    private SparkContext sc;

    /**Calculate the score (loss function value) on a given data set (usually a test set)
     *
     * @param data Data set to calculate the score for
     * @param average Whether to return the average (sum of loss / N) or just (sum of loss)
     */
    public SparkDataSetLossCalculator(JavaRDD data, boolean average, SparkContext sc) {
        this.data = data;
        this.average = average;
        this.sc = sc;
    }

    @Override
    public double calculateScore(MultiLayerNetwork network) {
        SparkDl4jMultiLayer net = new SparkDl4jMultiLayer(sc, network, null);
        return net.calculateScore(data, average);
    }

    @Override
    public boolean minimizeScore() {
        return true;    //Minimize loss
    }

}